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dc.contributor.authorRainer, J Javier
dc.contributor.authorLópez Hernández, Fernando
dc.contributor.authorGalán, Ramón
dc.date2018
dc.date.accessioned2021-02-01T15:07:57Z
dc.date.available2021-02-01T15:07:57Z
dc.identifier.isbn9789813273221
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10945
dc.descriptionPonencia del congreso "13th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS)"es_ES
dc.description.abstractTraditionally robots are autonomous systems that plan and execute actions without taking into account any external feedback. This paper studies to what extent a robot is able to alter its behavior based on observing a series of positive or negative human reactions. We describe the result of introducing these human reactions in a plan of actions by means of fuzzy logic analysis of the reactions. In this way, the election of the actions to perform is based on a combination of the initial plan of actions and of a fuzzy logic weighting of the utility of previously executed actions.es_ES
dc.language.isoenges_ES
dc.publisherData Science and knowledge Engineerign for Sensing Decision Supportes_ES
dc.relation.ispartofseries;vol. 11
dc.relation.urihttps://www.worldscientific.com/doi/abs/10.1142/9789813273238_0085es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectWOS(2)es_ES
dc.titleImproving the activities of a robotic guide by taking into account human reactionses_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1142/9789813273238_0085


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